| 研究生: |
高枚妤 Kao, Mei-Yu |
|---|---|
| 論文名稱: |
藉由指標Spk評估供應商之允收抽樣計畫 Using Spk to evaluate the supplier’s acceptance sampling plan |
| 指導教授: |
胡政宏
Hu, Cheng-Hung |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 工業與資訊管理學系碩士在職專班 Department of Industrial and Information Management (on the job class) |
| 論文出版年: | 2021 |
| 畢業學年度: | 109 |
| 語文別: | 中文 |
| 論文頁數: | 40 |
| 中文關鍵詞: | 製程能力分析 、製程能力指標 、指標Spk 、允收抽樣計畫 |
| 外文關鍵詞: | Process Capability Analysis, Process Capability Index, Index Spk, Acceptance Sampling Plan |
| 相關次數: | 點閱:165 下載:0 |
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薄膜電晶體液晶顯示器是一個高科技的產業,也具備有相當成熟的製造技術,然而隨著時代的變遷,與市場的需求變動,要如何將既有的技術與製造流程,再從中精進而創造出競爭力,是一項重要且值得探討的議題。在本研究中,針對一開始的供應商製程能力選擇開始探討,將已知的製程能力指標,利用統計方法進行供應商製程能力的評估,並同樣利用統計方法計算出對應的檢驗批量數,檢驗樣本數與合格判定值,確認供應商之製程能力是否有滿足要求,將一些既有流程加以檢討,善用現有已知方法與工具,來進行深入研究與分析,並將原本的流程重新審視並訂定,建構出一套符合並適用於實際狀態的方法。利用供應商的樣本檢驗數據加以分析計算來獲得指標Spk,並且於本研究探討,指標Spk與樣本數和變異數之間的關係,讓執行者能夠更簡易的利用指標Spk,清楚了解該供應商的製程能力,以長期來看,不僅僅是對應出這些供應商物料的良率,更可以進一步從指標Spk,對於供應商的製程能力加以改善,在不額外增加公司負擔的前提下,達到減少人力與降低公司成本的目的。
Thin-film transistor liquid crystal displays are a high-tech industry, and they also have quite mature manufacturing technologies. However, with the changes of the times and changes in market demand, how to use the existing technology and manufacturing process to refine and create competitiveness is an important issue worthy of discussion. In this study, we started to discuss the selection of supplier's process capability at the beginning. We used statistical methods to evaluate the supplier's process capability based on the known process capability indicators, and also used statistical methods to calculate the corresponding inspection number of inspection batch, number of sample and qualified judgment value, confirm whether the supplier’s process capability meets the requirements, review some existing processes, make good use of existing known methods and tools to conduct in-depth research and analysis, and re-examine and re-examine the original process. Define and construct a set of methods that conform to and apply to the actual state. Use the supplier’s sample inspection data to analyze and calculate to obtain the indicator Spk. In this study, we will explore the relationship between the indicator Spk and the number of samples and the variance, so that the implementer can use the indicator Spk more easily and clearly understand the supplier. In the long run, the process capability of these suppliers not only corresponds to the yield rate of these suppliers’ materials, but also can further improve the supplier’s process capability from the indicator Spk, so as to reduce the burden on the company without additional burden, manpower and the purpose of reducing company costs.
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網站資料
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